Using MODIS Time Series to Characterize the Annual Dynamics of Photosynthesis in Tropical Forests of Central Africa

In the framework of the CoForChange project, (predicing the effects of global change on forest biodiversity in the Congo Basin region) we propose a new method of satellite imagery analysis to characterise the spatial patterns of tropical forest in central Africa. We use a 10-year time series remotely sensed data from TERRA-MODIS sensor to identify the variations of forest photosynthetic activity intensty within a synthesis year. The processing was done using the 16-days enhanced vegetation index data and crossing this information with field inventories. We found a good match between the satellite imagery and the gradient of evergreen dominance.This detailes spatial and temporal information should provide a better basis to monitor carbon in this poorly known region.

GOND Valerie;  PENNEC A.;  FAYOLLE A.;  GOURLET-FLEURY S.;  MAYAUX Philippe; 

2011-01-04

COMMONWEALTH FORESTRY ASSOC

JRC61084

1465-5489,   

http://www.cfa-international.org/IUFRO%20abstracts%202010.pdf,    https://publications.jrc.ec.europa.eu/repository/handle/JRC61084,